10 computer-programmer-"https:"-"https:"-"FEMTO-ST" positions at BI Norwegian Business School
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
BI Norwegian Business School offers a four-year PhD program in business and economics. We are pleased to announce that we are inviting applications for PhD scholarships for the Leadership and
-
-year program is designed for talented students who wish to pursue an international career within academia and who can contribute to the international arena with their research and publications
-
. The department has a highly international research environment with strong presence at leading conferences. Placements of graduates from our PhD programme include the University of Manchester, Bayes Business
-
department hosts research centers in Healthcare, Construction, and Ocean Industries, which sponsor and provide data supporting faculty research, workshops and seminars. The doctoral program is an important
-
international and national organizations, and the industry. The specialization is a unique blend of modern data science and research in business decisions and analytics. The four-year program offers rigorous
-
national organizations, and the industry. The specialization is a unique blend of modern data science and research in business decisions and analytics. The four-year program offers rigorous training
-
PhD Candidate in Economics, Centre for Applied Macroeconomics and Commodity Prices (CAMP) BI Norwegian Business School offers a four-year Ph.D. Programme with specialization in Economics, which
-
program. The Department has employees at campuses in Oslo, Trondheim, Bergen, and Stavanger. Key Responsibilities Provide strategic leadership, aligning departmental goals with BI’s institutional strategy
-
PhD Candidates in Economics BI Norwegian Business School offers a four-year Ph.D. Programme with specialization in Economics , which trains students to engage in high quality scientific research
-
. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in